Raw LLM Responses

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Comment
@manami3164The data sets aren’t actually biased. For the most part it’s pulling from the same sets most reputable sources would use. The scientists aren’t making a highly sophisticated AI and feeding it The Onion articles. Calling it biased is pure copium, because ultimately it is just reaching conclusions that align with the reality of the world. Every example used here as biased was statistically correct. Black people statistically ARE more likely to be involved in shootings. Men ARE on average more productive than women in the workplace. White men generally ARE more productive in the workplace. This as a “problem” has been known since roughly 2014 and scientists have STILL been unable to make it reach different conclusion barring actively censoring the AI or limiting access to certain information. How absurd is that: the only way to make an AI not be racist is to shelter it from reality
youtube AI Bias 2022-12-21T22:1… ♥ 16
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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